Is your feature request related to a problem? Please describe.
r.univar accepts multiple input maps. It seems that this feature could be used in t.rast.univar to compute univariate statitics over one ore more maps in a temporal granule, meaning to compute temporal aggregated statistics.
Describe the solution you'd like
In addition to listing single maps, map lists could be generated grouped by a user defined granularity maybe with a user defined start point, using two new options for the module, like e.g.
granularity="24 hours"
start="2001-01-01 06:00:00"
Describe alternatives you've considered
Currently, one would run t.rast.aggregate and then t.rast.univar. The drawback there is, that new data is generated that occupies storage. For data where one frequently computes statistics that could make sense any way.
Is your feature request related to a problem? Please describe.
r.univaraccepts multiple input maps. It seems that this feature could be used int.rast.univarto compute univariate statitics over one ore more maps in a temporalgranule, meaning to compute temporal aggregated statistics.Describe the solution you'd like
In addition to listing single maps, map lists could be generated grouped by a user defined
granularitymaybe with a user defined start point, using two new options for the module, like e.g.Describe alternatives you've considered
Currently, one would run
t.rast.aggregateand thent.rast.univar. The drawback there is, that new data is generated that occupies storage. For data where one frequently computes statistics that could make sense any way.